HUT: Hybrid UNet Transformer for brain lesion and tumour segmentation

• المؤلفون الرئيسيون: Soh, Wei Kwek, Yuen, Hing Yee, Rajapakse, Jagath Chandana
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering::Computer science and engineering; Brain Tumour; Brain Lesions
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173044
• المؤسسة: Nanyang Technological University

A supervised deep learning network like the UNet has performed well in segmenting brain anomalies such as lesions and tumours. However, such methods were proposed to perform on single-modality or multi-modality images. We use the Hybrid UNet Transformer (HUT) to improve performance in single-modalit...